Journal of Water Resource Engineering and Pollution Studies ISSN: 3107-8419 (Online)

Authors: Sandhya Kiran J K, Chaitra K 

Abstract: Drainage system managers face significant challenges due to the increase in extreme rain events occurring in various parts of the world. These events lead to hydraulic overload in drainage systems, causing floods. Adapting existing infrastructure to handle extreme rains without negatively impacting city inhabitants has become a necessity. This research introduces a new method to improve drainage systems with minimal investment costs, utilizing a novel methodology that includes the addition of hydraulic control elements to the network, installation of storm tanks, and pipe replacement.

 The proposed methodology employs the Storm Water Management Model for hydraulic network analysis and a modified Genetic Algorithm for optimization. This algorithm, called the Pseudo-Genetic Algorithm, uses integral chromosome coding and has been applied in previous hydraulic optimization studies. This study evaluates both the cost of necessary infrastructure and the damage caused by floods to determine the optimal solution. The main conclusion is that incorporating hydraulic controls can reduce the cost of network rehabilitation and decrease flood levels.

Keywords: Hydraulic control, rehabilitation, drainage networks, optimization